behavior-tree-generation
behavior-tree-generation is an Embedded, IoT & robotics skill for AI agents, published by isaac-sim in the IsaacSim repository on GitHub. Skillspace rates behavior-tree-generation C (70/100) and it passed the safety scan; the rating is based on static analysis only.
LLM-driven Behavior Tree Generation for Isaac Sim: turn a natural-language scenario into behavior-tree files. Use when generating a tree, authoring context/schema, or scripting the planner.
- Grade
- C
- Quality
- 70 / 100
- Safety
- Passed
- GitHub stars
- 4,074
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 100 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- Low-risk patterns
- License
- Not declared. Check the repository before reusing it.
What the scanner flagged
- mentions secrets in text
Not checked yet
- Category is a classifier prediction; no model has read this skill yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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